Low-Complexity Discriminative Feature Selection From EEG Before and After Short-Term Memory Task

2016 ◽  
Vol 47 (4) ◽  
pp. 291-297 ◽  
Author(s):  
Neda Behzadfar ◽  
S. Mohammad P. Firoozabadi ◽  
Kambiz Badie
Author(s):  
Francesco Panico ◽  
Stefania De Marco ◽  
Laura Sagliano ◽  
Francesca D’Olimpio ◽  
Dario Grossi ◽  
...  

AbstractThe Corsi Block-Tapping test (CBT) is a measure of spatial working memory (WM) in clinical practice, requiring an examinee to reproduce sequences of cubes tapped by an examiner. CBT implies complementary behaviors in the examiners and the examinees, as they have to attend a precise turn taking. Previous studies demonstrated that the Prefrontal Cortex (PFC) is activated during CBT, but scarce evidence is available on the neural correlates of CBT in the real setting. We assessed PFC activity in dyads of examiner–examinee participants while completing the real version of CBT, during conditions of increasing and exceeding workload. This procedure allowed to investigate whether brain activity in the dyads is coordinated. Results in the examinees showed that PFC activity was higher when the workload approached or reached participants’ spatial WM span, and lower during workload conditions that were largely below or above their span. Interestingly, findings in the examiners paralleled the ones in the examinees, as examiners’ brain activity increased and decreased in a similar way as the examinees’ one. In the examiners, higher left-hemisphere activity was observed suggesting the likely activation of non-spatial WM processes. Data support a bell-shaped relationship between cognitive load and brain activity, and provide original insights on the cognitive processes activated in the examiner during CBT.


2020 ◽  
Vol 8 (B) ◽  
pp. 1144-1151
Author(s):  
Sri Sofyani Syofyan ◽  
Arlinda Sari Wahyuni ◽  
Kusnandi Rusmil ◽  
Aznan Lelo

AIM: The purpose of this study is to determine the effects of calcium supplementation to decrease blood lead levels (BLLs) of children at high risk for chronic lead poisoning and to determine its effects on short-term memory. MATERIALS AND METHODS: Children aged 8–12 years lived in the highest traffic density in Medan randomly included in this quasi-experimental study, divided into two groups (control and supplementation group received tablet contain four hundred milligrams oral calcium twice daily for 3 months). Samples for BLLs were collected before and after 3 months of supplementation, and short-term memory measurements are carried out by picture and forward digital span test. Descriptive statistics were calculated at baseline and 3 months; comparison between before and after treatment was assessed with t-tests, p < 0.05 considered statistically significant. RESULTS: BLLs samples, who are exposed to lead for >6 months were ranging between 0.4–12 μg/dL. Median BLLs in supplementation group before treatment was 2.1 μg/dL and after treatment was 0.01 μg/dL (p < 0.01); difference between median in BLLs after treatment in supplementation group was 2.090 μg/dL (p = 0.004). Score memory picture in the supplementation group before treatment was 61.4 ± 24.83 and after treatment was 76.21 ± 15.97 (p<0.01). Score memory digital span in the supplementation group before treatment was 5 (3–7) and after treatment was 7 (5–7) (p < 0.01). CONCLUSION: Three months of oral calcium supplementation 400 mg twice daily for high-risk chronic lead poisoning children reduced BLLs significantly and improved their short-term memory.


Author(s):  
Preethi D. ◽  
Neelu Khare

This chapter presents an ensemble-based feature selection with long short-term memory (LSTM) model. A deep recurrent learning model is proposed for classifying network intrusion. This model uses ensemble-based feature selection (EFS) for selecting the appropriate features from the dataset and long short-term memory for the classification of network intrusions. The EFS combines five feature selection techniques, namely information gain, gain ratio, chi-square, correlation-based feature selection, and symmetric uncertainty-based feature selection. The experiments were conducted using the standard benchmark NSL-KDD dataset and implemented using tensor flow and python. The proposed model is evaluated using the classification performance metrics and also compared with all the 41 features without any feature selection as well as with each individual feature selection technique and classified using LSTM. The performance study showed that the proposed model performs better, with 99.8% accuracy, with a higher detection and lower false alarm rates.


2019 ◽  
Vol 34 (6) ◽  
pp. 925-925
Author(s):  
A Guerra ◽  
J Moses ◽  
J Rivera ◽  
M Davis ◽  
K Hakinson

Abstract Objective Examine whether verbal abilities may help explain the learning strategies people employ when completing a short-term verbal memory task. Methods The assessment records of 296 American Veterans with diverse neuropsychiatric conditions were analyzed using Exploratory Factor Analyses. There were no exclusion criteria. All participants completed the Benton Serial Digit Learning Test – 9 Digits (SDL-9) and Visual Naming (VisNam), Sentence Repetition (SenRep), Controlled Word Association (COWA), and Token Tests of the Multilingual Aphasia Examination (MAE). Individual assessment instruments were factored using Principal Component Analyses (PCA). A three-factor solution of the SDL-9 was co-factored with the verbal components of the MAE to identify common sources of variance. Results A three-factor solution of the SDL-9 separated trials into three overlapping factors consisting of early (SDL-9_Early), middle (SDL-9_Middle), and late (SDL-9_Late) trials. Co-factoring the three new scales with the verbal components of the MAE produced a four-factor model explaining 67.85% of the shared variance: 1) SenRep loaded with SDL-9_Early, 2) COWAT loaded with SDL-9_Middle and SDL-9_Late, 3) Token loaded with SDL-9_Late, and 4) Vis Nam loaded with SDL-9_Late. Conclusions The results suggest that individuals may engage verbal abilities differently as they progress from simpler to more difficult verbal short-term memory tasks. It appears performance in early trials is mostly associated with rote repetition and performance on middle trials is mostly associated with verbal fluency, while performance on the late trials is associated with a combination of verbal fluency, auditory comprehension, and conceptual organization/naming. This may therefore indicate a shift in learning strategy to meet increased cognitive demands.


1992 ◽  
Vol 36 (2) ◽  
pp. 190-192 ◽  
Author(s):  
Janan Al-Awar Smither

This experiment investigated the demands synthetic speech places on short term memory by comparing performance of old and young adults on an ordinary short term memory task. Items presented were generated by a human speaker or by a text-to-speech computer synthesizer. Results were consistent with the idea that the comprehension of synthetic speech imposes increased resource demands on the short term memory system. Older subjects performed significantly more poorly than younger subjects, and both groups performed more poorly with synthetic than with human speech. Findings suggest that short term memory demands imposed by the processing of synthetic speech should be investigated further, particularly regarding the implementation of voice response systems in devices for the elderly.


1972 ◽  
Vol 29 (2) ◽  
pp. 76-78 ◽  
Author(s):  
Sheila Jones

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